Popular GitHub Repositories for Perceptual

High-fidelity performance metrics for generative models in PyTorch

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

Pytorch implementation of Image Manipulation with Perceptual Discriminators paper

Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.

? Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization ?

OCR-VQGAN, a discrete image encoder (tokenizer and detokenizer) for figure images in Paper2Fig100k dataset. Implementation of OCR Perceptual loss for clear text-within-image generation. Fork from VQGAN in CompVis/taming-transformers

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

This is the official PyTorch implementation of ShadowRefiner. Our method is winner of Perceptual Track and achieves the second-best performance for Fidelity Track in NTIRE 2024 Shadow Removal Challenge (CVPR 2024 Workshop)

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

The basic idea is to utilize a U-Net, modified perceptual loss (pearson instead of MAE), learned basis functions, and "mean teacher" training in order to synthesize images of high quality without the normal troubles of training a GAN.

This is the official repo for the CVPR 2021 IMW paper: "Perceptual Loss for Robust Unsupervised Homography Estimation"

Official Implementation for (ICLR 2024) Idempotence and Perceptual Image Compression

Single- and Multi-Speaker Cloned Voice Detection: From Perceptual to Learned Features

CVPR25(Highlight)-Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior

[Remote Sensing] PyTorch implementation for "Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity"

Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks